/*
 * Copyright (c) 2010 Mathew Hall, University of Sheffield.
 * All rights reserved.
 *
 * Redistribution and use in source and binary forms, with or
 * without modification, are permitted provided that the following conditions
 * are met:
 *
 * Redistributions of source code must retain the above copyright
 * notice, this list of conditions and the following disclaimer.
 *
 * Redistributions in binary form must reproduce the above
 * copyright notice, this list of conditions and the following
 * disclaimer in the documentation and/or other materials provided
 * with the distribution.
 *
 * Neither the name of the University of Sheffield nor the names of its
 * contributors may be used to endorse or promote products derived
 * from this software without specific prior written permission.
 *
 * THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND
 * CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES,
 * INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
 * MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
 * DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR
 * CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
 * SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT
 * NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
 * LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION)
 * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 * CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
 * OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE,
 * EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
 *
 */
package bunchbridge;

import bunchbridge.GraphConverter;
import bunch.ObjectiveFunctionCalculatorFactory;
import primitives.cluster.ClusterHead;
import search.fitnessfunctions.TreeFitnessFunction;
import primitives.cluster.ClusterUtils;

public class BunchFitnessAdaptor extends TreeFitnessFunction {

    private ObjectiveFunctionCalculatorFactory ofc;
    private String fitnessFunction;

    public BunchFitnessAdaptor(String fitnessFunction) {
        ofc = new ObjectiveFunctionCalculatorFactory();
        ofc.setCurrentCalculator(fitnessFunction);
        this.fitnessFunction = fitnessFunction;
    }

    @Override
    public double evaluate(ClusterHead result) {

        bunch.Graph toEvaluate = GraphConverter.convertToBunchCluster(result);

        bunch.Graph.setObjectiveFunctionCalculatorFactory(ofc);
        toEvaluate.setObjectiveFunctionCalculator(fitnessFunction);
		try{
        	toEvaluate.calculateObjectiveFunctionValue();
		}catch(ArrayIndexOutOfBoundsException aob){
			System.out.println("========");
			ClusterUtils.prettyPrintTree(result);
			System.out.println("========");
			throw aob;
		}
        return toEvaluate.getObjectiveFunctionValue();
    }

}
